Shear strength prediction for SFRC and UHPC beamsusing a Bayesian approach
2020
This study proposes prediction models for the shear strength of steel fiber reinforced concrete (SFRC) and ultra-highperformance
fiber reinforced concrete (UHPC) beams using a Bayesian parameter estimation approach and a collected experimental
database. Previous researchers had already proposed shear strength prediction models for SFRC and UHPC beams, but their
performances were limited in terms of their prediction accuracies and the applicability to UHPC beams. Therefore, this study
adopted a statistical approach based on a collected database to develop prediction models. In the database, 89 and 37 experimental
data for SFRC and UHPC beams without stirrups were collected, respectively, and the proposed equations were developed using the
Bayesian parameter estimation approach. The proposed models have a simplified form with important parameters, and in
comparison to the existing prediction models, provide unbiased high prediction accuracy.
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